David Whitney dwhit
dwhit
/ pg-pong.py
Last active
June 7, 2016 18:43
— forked from karpathy/pg-pong.py
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. | |
| I've edited the file so that the weights of different episodes are saved. They are | |
| saved in the format: | |
| save-<episode-number>--<running_reward>.p | |
| This way its easy to see what epoch had the most effective weights. | |
| Also, I've made the pickle file store the episode number, and running reward so |